{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch, os\n",
    "import torch.nn as nn\n",
    "import torch.optim as optim\n",
    "import torchvision.datasets as datasets\n",
    "import torch.utils.data as data\n",
    "import torchvision.transforms as transforms\n",
    "import torchvision.models as models\n",
    "from train_model import train_model\n",
    "from test_model import test_model\n",
    "from AlexNet import alexnet\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_transforms = {\n",
    "    'train': transforms.Compose([\n",
    "        transforms.ToTensor(),\n",
    "    ]),\n",
    "    'val': transforms.Compose([\n",
    "        transforms.ToTensor(),\n",
    "    ]),\n",
    "    'test': transforms.Compose([\n",
    "        transforms.ToTensor(),\n",
    "    ])\n",
    "}\n",
    "\n",
    "data_dir = 'tiny-imagenet-200/'\n",
    "num_workers = {\n",
    "    'train' : 100,\n",
    "    'val'   : 0,\n",
    "    'test'  : 0\n",
    "}\n",
    "image_datasets = {x: datasets.ImageFolder(os.path.join(data_dir, x),\n",
    "                                          data_transforms[x])\n",
    "                  for x in ['train', 'val','test']}\n",
    "dataloaders = {x: torch.utils.data.DataLoader(image_datasets[x], batch_size=100,\n",
    "                                             shuffle=True, num_workers=num_workers[x])\n",
    "              for x in ['train', 'val', 'test']}\n",
    "dataset_sizes = {x: len(image_datasets[x]) for x in ['train', 'val', 'test']}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Load AlexNet\n",
    "model_ft = alexnet()\n",
    "\n",
    "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n",
    "model_ft = model_ft.to(device)\n",
    "\n",
    "#Loss Function\n",
    "criterion = nn.CrossEntropyLoss()\n",
    "# Observe that all parameters are being optimized\n",
    "optimizer_ft = optim.SGD(model_ft.parameters(), lr=0.001, momentum=0.9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Loss: 5.2984 Acc: 0.0051\n",
      "Val Loss: 5.2983 Acc: 0.0050\n",
      "\n",
      "Training complete in 4m 27s\n"
     ]
    }
   ],
   "source": [
    "#Train\n",
    "train_model(\"Alex_np\",model_ft, dataloaders, dataset_sizes, criterion, optimizer_ft, num_epochs=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Loss: 2.5867 Acc: 0.3658\n",
      "Val Loss: 2.7154 Acc: 0.3528\n",
      "\n",
      "Training complete in 7m 7s\n",
      "Best Validation Accuracy: 0.3548, Epoch: 17\n"
     ]
    }
   ],
   "source": [
    "#Load AlexNet with pretrained weights\n",
    "model_ft = alexnet(True)\n",
    "\n",
    "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n",
    "model_ft = model_ft.to(device)\n",
    "#Loss Function\n",
    "criterion = nn.CrossEntropyLoss()\n",
    "# Observe that all parameters are being optimized\n",
    "optimizer_ft = optim.SGD(model_ft.parameters(), lr=0.001, momentum=0.9)\n",
    "\n",
    "#Train\n",
    "train_model(\"Alex\",model_ft, dataloaders, dataset_sizes, criterion, optimizer_ft, num_epochs=20)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:pytorch_p36]",
   "language": "python",
   "name": "conda-env-pytorch_p36-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
